Paper Info
Title
Gene-L'EXPO: a tool to extract knowledge From transcriptomes and find 'Literature-Sparse' relationships between genes and tissues.
Abstract
The increasing volume and diversity of transcriptome data in the public domain offer an opportunity to advance new questions and hypotheses. We anticipate that tools that can visualize the gap in the distribution of information between the scientific literature and actual data would prompt such questions. We focused on the roles played by various genes in tissues, and have developed a database that contrasts information on gene expression in tissues with PubMed text and transcriptome data. Data pairs of tissues and the genes that might be expressed there were automatically extracted from text with vocabularies for the genes and tissues. The anatomical categories of various expressed sequence tag (EST) libraries were also automatically determined. These types of information were linked using the hierarchical structure of the Metathesaurus in UMLS.
Year
Venue
Field
2008
AMIA
Scientific literature,Gene,Expressed sequence tag,Information retrieval,Biology,Transcriptome,Computational biology,Unified Medical Language System,Gene expression profiling
DocType
ISSN
Citations 
Conference
1942-597X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Teruyoshi Hishiki19210.99
Issei Tamada200.34
Kousaku Okubo318252.06